Evidence map›Paper›PMID 40521463›Full record

ArticleACS omega2025

Real-Time Fluorescence-Based Method for Dynamic Quantification of Droplet Network Assembly.

Alessia Faggian, Federica Casiraghi, Martin M Hanczyc

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alessia FaggianLaboratory for Artificial Biology, Department of Cellular, Computational and Integrative Biology, University of Trento, Via Sommarive, 9, Povo 38123, Italy.ORCID https://orcid.org/0000-0002-3799-9722
Federica CasiraghiLaboratory for Artificial Biology, Department of Cellular, Computational and Integrative Biology, University of Trento, Via Sommarive, 9, Povo 38123, Italy.
Martin M HanczycLaboratory for Artificial Biology, Department of Cellular, Computational and Integrative Biology, University of Trento, Via Sommarive, 9, Povo 38123, Italy.ORCID https://orcid.org/0000-0002-5453-2139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a direct fluorescence-based molecular beacon method to monitor droplet assembly in real-time, enhancing the precision of synthetic biology and mesoscale material applications. Unlike traditional imaging techniques, such as Pearson correlation from microscopic images, the direct method allows continuous quantification of dynamic droplet interactions with high sensitivity. This system utilizes single-stranded DNA (ssDNA) beacons that fluoresce upon binding with complementary ssDNA sequences in adjacent droplets, enabling the specific detection of assembly events. The ability to manipulate assembly accurately expands potential applications including the design of programmable cellular mimics, biosensors for environmental monitoring, and smart drug delivery systems that respond to specific cellular cues.

Identifiers

PMID40521463
PMCPMC12163661

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.